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Authors: Ernesto Del R. Santibanez-Gonzalez 1 ; Henrique Pacca Luna 2 and Geraldo Robson Mateus 3

Affiliations: 1 Federal University of Ouro Preto (UFOP), Brazil ; 2 Federal University of Alagoas (UFAL), Brazil ; 3 Federal University of Minas Gerais (UFMG), Brazil

Keyword(s): Sustainable supply chain, Green supply chain, Evolutionary computation, Genetic algorithms.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Industrial Applications of Artificial Intelligence ; Operational Research

Abstract: This paper presents a novel mixed-integer 0-1 model (MIP) for solving a sustainable supply chain network design problem that arises in the public sector. In our problem, we have to determine a fixed number of facilities to be located at sites chosen from among a given set of candidate sites. Sustainable issues are integrated into the model by reducing the greenhouse gas emissions produced by the transportation and the operation of the facilities. We propose a simple genetic algorithm (GA) for solving this problem. In order to validate our GA solutions we used GAMS to obtain optimal objective values on the MIP. Computational results are very good for instances generated from a known OR test library.

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Paper citation in several formats:
Del R. Santibanez-Gonzalez, E. ; Pacca Luna, H. and Robson Mateus, G. (2011). A GENETIC ALGORITHM FOR SOLVING A PUBLIC SECTOR SUSTAINABLE SUPPLY CHAIN DESIGN PROBLEM. In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-8425-54-6; ISSN 2184-4992, SciTePress, pages 222-227. DOI: 10.5220/0003588502220227

@conference{iceis11,
author={Ernesto {Del R. Santibanez{-}Gonzalez} and Henrique {Pacca Luna} and Geraldo {Robson Mateus}},
title={A GENETIC ALGORITHM FOR SOLVING A PUBLIC SECTOR SUSTAINABLE SUPPLY CHAIN DESIGN PROBLEM},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2011},
pages={222-227},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003588502220227},
isbn={978-989-8425-54-6},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - A GENETIC ALGORITHM FOR SOLVING A PUBLIC SECTOR SUSTAINABLE SUPPLY CHAIN DESIGN PROBLEM
SN - 978-989-8425-54-6
IS - 2184-4992
AU - Del R. Santibanez-Gonzalez, E.
AU - Pacca Luna, H.
AU - Robson Mateus, G.
PY - 2011
SP - 222
EP - 227
DO - 10.5220/0003588502220227
PB - SciTePress

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